Results 91 to 100 of about 21,260 (262)

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

open access: yesAdvanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

n‐Type Polymer Radio Frequency Rectifiers Operating at 18.5 GHz

open access: yesAdvanced Materials, EarlyView.
Combining an n‐doped polymer semiconductor with wafer‐scale asymmetric planar electrodes featuring work function‐engineered contacts yields radio‐frequency diodes and rectifying circuits operating at up to 18.5 GHz. The devices combine scalable manufacturing with an operating frequency previously unattainable by large‐area organic electronics ...
Lazaros Panagiotidis   +19 more
wiley   +1 more source

Business Optimization of Financial Centers in Pharmaceutical Enterprises Based on Robotic Process Automation Technology

open access: yesIEEE Access
With the continuous advancement of technology and the rapid development of automation technology, pharmaceutical companies urgently need to optimize and upgrade their financial operations with higher efficiency.
Yali Wang   +3 more
doaj   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

open access: yesAdvanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj   +8 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena   +3 more
wiley   +1 more source

Recent Advances in Ferrite‐Based Materials for Biomedical Applications: A Comprehensive Review

open access: yesAdvanced Materials, EarlyView.
Ferrite nanoplatforms are presented as tunable biomedical materials in which synthesis control, cation engineering, defect/morphology regulation, and surface functionalization govern structure–property–bioactivity relationships. These design strategies enable multifunctional applications including MRI contrast, magnetic hyperthermia, targeted drug ...
Pramod D. Mhase   +6 more
wiley   +1 more source

Intelligent document processing: The new frontier of automation

open access: yesWorld Journal of Advanced Engineering Technology and Sciences
Intelligent Document Processing (IDP) represents a transformative evolution in automation, combining Optical Character Recognition (OCR), machine learning, natural language processing, and business rules to extract, classify, and validate data from complex, unstructured documents.
openaire   +2 more sources

Navigating Lipid Nanostructure Design Space Through Continuous Microfluidic Automation

open access: yesAdvanced Materials, EarlyView.
LipidXplorer is a novel microfluidic platform which enables rapid navigation of lipid particle design space for high‐resolution phase mapping, lipid nanoparticle optimization, membrane biophysics, and functional nanomaterial discovery. It combines programmable composition control, continuous nanoparticle formation, and automated well‐plate collection ...
Bradley Diggines   +10 more
wiley   +1 more source

Mechanistically Interpretable Artificial Intelligence for Designing Oxygen Electrocatalysts

open access: yesAdvanced Materials, EarlyView.
Mechanistically interpretable artificial intelligence screens nearly seven million perovskite compositions and identifies key descriptors—d‐p hybridization and densification resistance—that govern oxygen electrocatalysis. The discovered BaCo0.8Nb0.1Zr0.1O3‐δ achieves a record 2.68 W cm−2 peak power density at 600°C with over 500 h of durable operation ...
Xueyu Hu   +15 more
wiley   +1 more source

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